DeepSeek-V2.5 vs Gemma 2 9B
DeepSeek-V2.5 leads the LLM Stats Score 8.4 to -4.8.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V2.5 leads the overall LLM Stats Score 8.4 to -4.8, ranking #265 overall.
In the 4 individual benchmarks reported for both models, DeepSeek-V2.5 wins 4; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V2.5
- overall performance matters — it scores 8.4 and ranks #265 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
Choose Gemma 2 9B
- you want the most recent training data — it shipped Jun 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for DeepSeek-V2.5 · 16 for Gemma 2 9B
DeepSeek-V2.5 outperforms in 4 benchmarks (GSM8k, HumanEval, MATH, MMLU), while Gemma 2 9B is better at 0 benchmarks.
DeepSeek-V2.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V2.5 has 226.8B more parameters than Gemma 2 9B, making it 2454.1% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while Gemma 2 9B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Gemma
Open weights
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while Gemma 2 9B was released on 2024-06-27.
Gemma 2 9B is 2 months newer than DeepSeek-V2.5.
May 8, 2024
2.3 years ago
Jun 27, 2024
2.2 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V2.5 and Gemma 2 9B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V2.5 vs Gemma 2 9B.